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誰もが良い仕事とまともな収入を望んでいます。 しかし、彼らが優れた能力と優れた主要な知識を持っていない場合、彼らはまともな仕事を見つけるのは難しいです。 SalesforceテストAgentforce-Specialist認定に合格すると、夢を実現し、満足のいく仕事を見つけることができます。 Agentforce-Specialist学習教材は、Agentforce-SpecialistのSalesforce Certified Agentforce Specialist (AI-201)試験に簡単に合格するのに役立つ優れたツールです。 時間をかけて学習する必要はありません。 Agentforce-Specialist試験ガイドは高品質であり、当社Salesforceの製品を使用する場合、Agentforce-Specialist試験に合格する可能性は99％〜100％と非常に高くなっています。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data and AI Governance | 20% | - Ethics and compliance
|
| Topic 2: Testing, Deployment, and Operations | 20% | - Lifecycle management
|
| Topic 3: AI Agents | 35% | - Topics and Actions
|
| Topic 4: Prompt Engineering | 25% | - Prompt Builder
|
>> Agentforce-Specialist日本語練習問題 <<
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質問 # 217
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
正解：B
解説：
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, theAgentforce Specialistshould create aTrust Layer audit reportwithinData Cloud. By using the toxicity detector type filter, the report can displaytoxic responsesalong with their respective toxicity scores, allowingUniversal Containersto monitor and manage any toxic content generated with a high level of confidence.
* Option Cis correct because it enables visibility into toxic language detection within theTrust Layerand allows for auditing responses for toxicity.
* Option Asuggests checking a toxicity detection log, butSalesforceprovides more comprehensive options via the audit report.
* Option Binvolves creating a flow, which is unnecessary for toxicity detection monitoring.
References:
* Salesforce Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm
質問 # 218
Universal Containers deploys a new Agentforce Service Agent into the company's website but is getting feedback that the Agentforce Service Agent is not providing answers to customer questions that are found in the company ' s Salesforce Knowledge articles. What is the likely issue?
正解：B
解説：
Universal Containers (UC) has deployed an Agentforce Service Agent on its website, but it's failing to provide answers from Salesforce Knowledge articles. Let's troubleshoot the issue.
Option A: The Agentforce Service Agent user is not assigned the correct Agent Type License.There's no " Agent Type License " in Salesforce-agent functionality is tied to Agentforce licenses (e.g., Service Agent license) and permissions. Licensing affects feature access broadly, but the specific issue of not retrieving Knowledge suggests a permission problem, not a license type, making this incorrect.
Option B: The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.No " standard Agent Knowledge profile " exists. The Agentforce Service Agent runs under a system user (e.g., " Agentforce Agent User " ) with a custom profile or permission sets. Profile creation isn't the issue-access permissions are, making this incorrect.
Option C: The Agentforce Service Agent user was not given the Allow View Knowledge permission set.The Agentforce Service Agent user requires read access to Knowledge articles to ground responses. The " Allow View Knowledge " permission (typically via the " Salesforce Knowledge User " license or a permission set like " Agentforce Service Permissions " ) enables this. If missing, the agent can't access Knowledge, even if articles are indexed, causing the reported failure. This is a common setup oversight and the likely issue, making it the correct answer.
Why Option C is Correct:
Lack of Knowledge access permissions for the Agentforce Service Agent user directly prevents retrieval of article content, aligning with the symptoms and Salesforce security requirements.
References:
Salesforce Agentforce Documentation: Service Agent Setup > Permissions - Requires Knowledge access.
Trailhead: Set Up Agentforce Service Agents - Lists " Allow View Knowledge " need.
Salesforce Help: Knowledge in Agentforce - Confirms permission necessity.
質問 # 219
Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time-consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency. Which Salesforce feature should the company use to address these concerns?
正解：A
解説：
Comprehensive and Detailed In-Depth Explanation:UC wants to streamline the use of Generative AI by reducing the time reps spend typing prompts and ensuring consistency, leveraging their existing prompt knowledge. Let's evaluate the options.
* Option A: Agent Builder and Action: Query Records.Agent Builder in Agentforce Studio creates autonomous AI agents with actions like "Query Records" to fetch data. While this could retrieve information, it's designed for agent-driven workflows, not for simplifying manual prompt entry or ensuring consistency across user inputs. This doesn't directly address UC's concerns and is incorrect.
* Option B: Einstein Prompt Builder and Prompt Templates.Einstein Prompt Builder, part of Agentforce Studio, allows users to create reusableprompt templatesthat encapsulate specific instructions and grounding for Generative AI (e.g., using public models via the Atlas Reasoning Engine). UC can predefine prompts based on their known language, saving time for reps by eliminating repetitive typing and ensuring consistency across sales and service teams. Templates can be embedded in flows, Lightning pages, or agent interactions, perfectly addressing UC's needs. This is the correct answer.
* Option C: Einstein Recommendation Builder.Einstein Recommendation Builder generates personalized recommendations (e.g., products, next best actions) using predictive AI, not Generative AI for freeform prompts. It doesn't support custom prompt creation or address time/consistency issues for reps, making it incorrect.
Why Option B is Correct:Einstein Prompt Builder's prompt templates directly tackle UC's challenges by standardizing prompts and reducing manual effort, leveraging their familiarity with Generative AI language.
This is a core feature for such use cases, as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Einstein Prompt Builder- Details prompt templates for consistency and efficiency.
* Trailhead: Build Prompt Templates in Agentforce- Explains time-saving benefits of templates.
* Salesforce Help: Generative AI with Prompt Builder- Confirms use for streamlining rep interactions.
質問 # 220
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?
正解：A
解説：
Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent.
Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let' s evaluate the options.
* Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
* Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce's 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated.
There's no exemption based on activation status-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce's Apex deployment rules.
* Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn' t waive this requirement, making this incorrect.
Why Option A is Correct:
The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex - Notes standard Apex deployment rules apply.
Salesforce Developer Guide: Apex Testing - Confirms 75% coverage requirement.
Trailhead: Deploy Apex Code - Emphasizes coverage and dependencies for production.
質問 # 221
An administrator at Universal Containers is setting up a new Sales Development Representative (SDR) Agent.
The agent's purpose is to nurture cold leads before connecting them to the assigned sales rep.
To ensure the agent has all the necessary access to the leads in the North America sales region, what should the administrator data?
正解：A
解説：
According to the AgentForce Security and Data Access Configuration Guide, the best practice for ensuring an agent (such as an SDR Agent) can access specific records while maintaining security is to use criteria-based sharing rules. The documentation states: "When an AI Agent needs access to a subset of records (for example, regional leads), create a sharing rule granting access to that agent's user context based on defined criteria such as region or ownership." Option A (assigning the highest-level role) provides excessive access beyond the intended scope, violating the principle of least privilege. Option B (View All permission) gives global object access, which is not secure. Therefore, Option C ensures that the SDR Agent has controlled, region-specific access to lead records.
References (AgentForce Documents / Study Guide):
* AgentForce Security and Access Guide: "Using Sharing Rules for AI Agent Access Control"
* AgentForce Implementation Handbook: "Regional Access Configuration for SDR Agents"
* Salesforce Data Security Study Guide
質問 # 222
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